OVERVIEW

Ontik Technology is looking for an AI Engineer with strong machine learning fundamentals and hands-on experience building production-ready ML models. This role focuses on the full end-to-end model lifecycle, including training, deployment, automation, and monitoring, with an emphasis on scalable, reproducible, and testable ML workflows.

RESPONSIBILITIES

Develop, train, and evaluate ML models on structured and unstructured datasets
Build modular, versioned, and reproducible training pipelines
Support deployment of containerized models via REST-based inference APIs
Integrate MLOps tools for experiment tracking and lifecycle management
Design batch and real-time inference systems
Collaborate with backend and infrastructure teams on CI/CD and model serving
Monitor deployed models for drift, stability issues, and data shifts
Participate in sprint planning, technical discussions, and delivery checkpoints

MUST-HAVES

Python
Machine learning fundamentals
TensorFlow
PyTorch
scikit-learn
Production ML systems
REST APIs
Docker
Kubernetes
Vector databases
MLOps

SHOULD-HAVES

MLflow
DVC
n8n
LLMs
Pinecone
Weaviate
Cloud AI platforms
Model monitoring
Data engineering

NICE-TO-HAVES

Model explainability tools
Drift detection
Airflow
Prefect
Post-deployment monitoring
Backend service integration

COMPENSATION & BENEFITS

50,000 – 70,000 BDT per month
Performance-based bonus
Two annual festival bonuses
2 days off per week
Flexible work environment
Complimentary snacks and coffee
Partially subsidized lunch
Games and entertainment facilities
Quarterly events and celebrations

OTHER DETAILS

Full-time
Onsite (Dhaka, Bangladesh)
Number of vacancies: 1

Summary

Job description

Required skills